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. Author manuscript; available in PMC: 2022 Nov 1.
Published in final edited form as: Proc IEEE Int Conf Acoust Speech Signal Process. 2022 Apr 27;2022:6267–6271. doi: 10.1109/icassp43922.2022.9746307

Table 3.

Results, in terms of F1-score, for depression detection on the DAIC-WOZ dataset comparing proposed method with conventional data augmentation techniques. The best F1-score is boldfaced.

Augmentation
Strategy		 Validation Test Data
Augmentation
Baseline 0.619 0.382 None
Noise [34] 0.579 0.477 7x
VTLP [15] 0.630 0.462 3x
Speed Perturbation [16] 0.639 0.431 3x
Pitch Perturbation [16] 0.648 0.431 5x
FrAUG 0.656 0.479 5x